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宫颈癌中免疫原性细胞死亡相关的癌相关成纤维细胞簇及预后风险模型

Immunogenic cell death-related cancer-associated fibroblast clusters and prognostic risk model in cervical cancer.

作者信息

Wu Fei, Xu Yue

机构信息

Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun 130000, Jilin, China.

出版信息

APL Bioeng. 2024 Dec 12;8(4):046114. doi: 10.1063/5.0240772. eCollection 2024 Dec.

DOI:10.1063/5.0240772
PMID:39691350
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11650426/
Abstract

Cervical cancer (CC) remains a leading cause of female cancer mortality globally. Immunogenic cell death (ICD) influences the tumor microenvironment (TME) and adaptive immune responses. Cancer-associated fibroblasts (CAFs) within the TME suppress anti-tumor immunity and contribute to CC progression. This study identified three ICD-related CAF clusters linked to patient survival, including IL6+CAF and ILR1+CAF, which were associated with clinical outcomes. Using a nine-gene risk model, patients were stratified into risk groups, with high-risk individuals showing worse survival and correlations with pathways such as hypoxia and TGFβ. The model also predicted immunotherapy responses, highlighting immune infiltration differences across risk groups. These findings provide insights into the role of CAF clusters in CC and present a risk model that supports prognosis prediction and personalized therapy.

摘要

宫颈癌（CC）仍然是全球女性癌症死亡的主要原因。免疫原性细胞死亡（ICD）影响肿瘤微环境（TME）和适应性免疫反应。TME中的癌症相关成纤维细胞（CAF）抑制抗肿瘤免疫并促进CC进展。本研究确定了与患者生存相关的三个ICD相关CAF簇，包括IL6 + CAF和ILR1 + CAF，它们与临床结果相关。使用九基因风险模型，将患者分层为风险组，高危个体的生存率较差，并且与缺氧和TGFβ等通路相关。该模型还预测了免疫治疗反应，突出了不同风险组之间的免疫浸润差异。这些发现为CAF簇在CC中的作用提供了见解，并提出了一个支持预后预测和个性化治疗的风险模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/95b42c68677a/ABPID9-000008-046114_1-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/daa943b1c01b/ABPID9-000008-046114_1-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/19751c4edc7d/ABPID9-000008-046114_1-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/7d4960410085/ABPID9-000008-046114_1-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/aebd8ccba42f/ABPID9-000008-046114_1-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/cd1e1f2ba9e9/ABPID9-000008-046114_1-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/0e3b0f2fb1f7/ABPID9-000008-046114_1-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/95b42c68677a/ABPID9-000008-046114_1-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/daa943b1c01b/ABPID9-000008-046114_1-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/19751c4edc7d/ABPID9-000008-046114_1-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/7d4960410085/ABPID9-000008-046114_1-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/aebd8ccba42f/ABPID9-000008-046114_1-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/cd1e1f2ba9e9/ABPID9-000008-046114_1-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/0e3b0f2fb1f7/ABPID9-000008-046114_1-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ab/11650426/95b42c68677a/ABPID9-000008-046114_1-g007.jpg

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